A checkers library with modern web GUI, Supprots multiple variants of game.
-
Updated
Nov 28, 2023 - Python
A checkers library with modern web GUI, Supprots multiple variants of game.
It's Tic-Tac-Toe Unbeatable A.I.
The mancala game consists of two-player, which is a turn-based strategy board games. There are two modes i) player vs player ii)AI Bot vs player. AI Bots works on Mini Max Algorithm
Implementation of Tic tac toe game using mini-max algorithm and alpha-beta pruning with JavaFX
Tic Tac Toe game built with vanilla JS
Gomoku game integrating an AI player capable of beating a human player the fastest way possible. Implementing a min-max algorithm, trial and error to find the most adapted heuristics. This will not be as easy as checkers.
Artificial Intelligence (COMP 424) Project
Game Othelo (Reversi) made in WPF with several AI implementations
Tic-tac-toe is a game in which two players take turns in drawing either an ' O' or an ' X' in one square of a grid consisting of nine squares. The winner is the first player to get three squares of the same symbols in a row, column or diagonal. This C++ Code uses the MiniMax Algorithm to play as computer opponent.
Optimization of Connect4 Game using Mini-Max Algorithm and Alpha-Beta Pruning Algorithm.
TicTacToe with mini max algorithm
Tic Tac Toe Game Using Mini Max Algorithm
Tic Tac Toe using game theory
Four_In_A_Row problem has been solved using Python Language with the comprehensive implementation of Min-Max Alpha-Beta Pruning Algorithm. The Depth of the search for the algorithm has been customized for a quicker but less accurate response from an AI agent.
Unbeatable tic-tac-toe player based on the minimax algorithm written in Prolog.
Droughts console game with Alpha-beta pruning as a modified version of the minimax algorithm
AI playing connect 4 using heuristic mini-max with alpha beta pruning
Implementing the impossible to beat Tic-Tac-Toe game against an AI using ES6 and the Mini-Max algorithm.
Add a description, image, and links to the mini-max-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the mini-max-algorithm topic, visit your repo's landing page and select "manage topics."